scholarly journals Impact Evaluation of Wind Power Geographic Dispersion on Future Operating Reserve Needs

Energies ◽  
2018 ◽  
Vol 11 (11) ◽  
pp. 2863 ◽  
Author(s):  
Fernando Manuel Carvalho da Silva Santos ◽  
Leonardo Elizeire Bremermann ◽  
Tadeu da Mata Medeiros Branco ◽  
Diego Issicaba ◽  
Mauro Augusto da Rosa
Keyword(s):  
Wind Power ◽  
Sequential Monte Carlo ◽  
Wind Farms ◽  
Test System ◽  
Distribution Functions ◽  
Large Country ◽  
Global Power ◽  
Generation Capacity ◽  
Wind Characteristics ◽  
Capacity Flexibility

This paper evaluates the potential of diverse wind power patterns to balance the global power output of wind farms using the concept of operating reserve assessment. To achieve this, operating reserve assessment models are utilized to evaluate bulk generation systems under several conditions of wind power geographic distribution. Different wind behavior patterns and wind power penetration levels are tested using a modified configuration of the Institute of Electrical and Electronics Engineers Reliability Test System 96 (IEEE RTS-96). The results highlight that on a large country scale system with different wind characteristics, the diversification of wind behavior might be conducive to a compensation of wind power fluctuations, which may significantly decrease the need for system operating reserves. This effect is verified using probability distribution functions of reserve needs estimated by sequential Monte Carlo simulations (SMCS), such that useful information regarding generation capacity flexibility is drawn from the evaluations.

scholarly journals Wind Energy Generation Assessment at Specific Sites in a Peninsula in Malaysia Based on Reliability Indices

Processes ◽  
2019 ◽  
Vol 7 (7) ◽  
pp. 399 ◽  
Author(s):  
Athraa Ali Kadhem ◽  
Noor Izzri Abdul Wahab ◽  
Ahmed N. Abdalla
Keyword(s):  
Wind Power ◽  
Wind Farm ◽  
Sequential Monte Carlo ◽  
Wind Farms ◽  
Test System ◽  
Peninsular Malaysia ◽  
Distribution Models ◽  
Reliability Indices ◽  
Wind Energy Generation ◽  
The Impact

This paper presents a statistical analysis of wind speed data that can be extremely useful for installing a wind generation as a stand-alone system. The main objective is to define the wind power capacity’s contribution to the adequacy of generation systems for the purpose of selecting wind farm locations at specific sites in Malaysia. The combined Sequential Monte Carlo simulation (SMCS) technique and the Weibull distribution models are employed to demonstrate the impact of wind power in power system reliability. To study this, the Roy Billinton Test System (RBTS) is considered and tested using wind data from two sites in Peninsular Malaysia, Mersing and Kuala Terengganu, and one site, Kudat, in Sabah. The results showed that Mersing and Kudat were best suitable for wind sites. In addition, the reliability indices are compared prior to the addition of the two wind farms to the considered RBTS system. The results reveal that the reliability indices are slightly improved for the RBTS system with wind power generation from both the potential sites.

Research on Reliability Assessment of Power System with Wind Farms

2012 ◽  
Vol 608-609 ◽  
pp. 588-591
Author(s):  
Wen Jiang ◽  
Ye Xia Cheng ◽  
Ye Jian Cheng
Keyword(s):  
Power System ◽  
Wind Farm ◽  
Sequential Monte Carlo ◽  
Moving Average ◽  
Reliability Assessment ◽  
Arma Model ◽  
Wind Farms ◽  
Test System ◽  
Wind Speeds ◽  
State Models

Due to randomness and fluctuation of wind speed, reliability of power system will be affected severely with increasing wind energy injected into power grid. In order to evaluate the effect on reliability of power system with wind farms, the author considers feature of time-sequential and self-correlation of wind speeds and builds an auto-regressive and moving average (ARMA) model to forecast wind speeds. Combining with state models of conventional generating units, transmission lines and transformers, a time-sequential Monte Carlo simulation reliability model is proposed to do reliability assessment of composite generation and transmission system with wind farm. IEEE-RTS test system is introduced to prove the proposed model. Analysis and comparison of results show that reliability can be improved clearly after integration of wind farm.

Study the Influence of the Implementation of Demand Side Management on Generation System Reliability

2014 ◽  
Vol 1044-1045 ◽  
pp. 1789-1798
Author(s):  
Le Feng Cheng ◽  
Bai Xi Chen ◽  
Tao Yu
Keyword(s):  
System Reliability ◽  
Sequential Monte Carlo ◽  
Demand Side Management ◽  
Reliability Evaluation ◽  
Test System ◽  
Energy Utilization ◽  
Demand Side ◽  
Generation System ◽  
Improve Energy Efficiency ◽  
Generation Capacity

At present, the influence of implementing demand side management on generation system reliability was studied by more and more academics. Demand side management can improve energy efficiency and reduce the maximum load demand, which is equivalent to an indirect increase in power generation capacity of the system, thus can improve the reliability of generation system. This paper firstly introduced the reliability index system of generation system, then the reliability analysis model which includes generation capacity model and load model was respectively built, and then the non-sequential Monte Carlo simulation method applied in generation system reliability evaluation was analyzed. Secondly, adopted the simulation to quantify and set the IEEE reliability testing system RTS (Reliability Test System) as an example to analyze the effect of demand side management on generation system reliability evaluation, the analysis results show that the implementation of DSM can improve the energy utilization and reliability of generation system, thus the system can be more secure, economic and reliable to supply electric power for electricity users.

Reliability Assessment of Composite Generation and Transmission System with Wind Farms

2011 ◽  
Vol 347-353 ◽  
pp. 879-883 ◽  
Author(s):  
Wen Jiang ◽  
Zhi Hu ◽  
Zheng Yan
Keyword(s):  
Transmission Lines ◽  
Power Flow ◽  
Wind Farm ◽  
Sequential Monte Carlo ◽  
Reliability Assessment ◽  
Wind Farms ◽  
Test System ◽  
Transmission System ◽  
Asynchronous Generator ◽  
State Models

Wind energy will affect the reliability of power system for its randomness and fluctuation. In this paper, the steady state model for the asynchronous generator is established and wind farms are considered as special PQ buses during power flow calculation. Combining with state models of conventional generating units, transmission lines and transformers, a time-sequential Monte Carlo simulation based on wind farm reliability model is established to do reliability assessment of composite generation and transmission system with wind farm. Meanwhile, an optimal load shedding model is used to decrease shedding load. IEEE-RTS test system is used to prove the proposed method. Analysis and comparison of results show that reliability can be improved clearly after integration of wind farm.

Reliability Assessment of Wind Power System Considering Multi-Objective Models

2012 ◽  
Vol 608-609 ◽  
pp. 742-747
Author(s):  
Chun Hong Zhao ◽  
Lian Guang Liu ◽  
Zi Fa Liu ◽  
Ying Chen
Keyword(s):  
Wind Speed ◽  
Power System ◽  
Wind Power ◽  
System Reliability ◽  
Wind Farm ◽  
Wind Farms ◽  
Test System ◽  
Power System Reliability ◽  
Multi Objective ◽  
Wind Power System

The integration of wind farms has a significant impact on the power system reliability. An appropriate model used to assess wind power system reliability is needed. Establishing multi-objective models (wind speed model, wind turbine generator output model and wind farm equivalent model) and based on the non-sequential Monte Carlo simulation method to calculate risk indicators is a viable method for quantitatively assessing the reliability of power system including wind farms. The IEEE-RTS 79 test system and a 300MW wind farm are taken as example.The calculation resluts show that using the multi-objective models can improve accuracy and reduce error; the higher average wind speed obtains the better system reliabitity accordingly.

Calculation of Probabilistic Available Transfer Capability in Wind Power Integrated System

2013 ◽  
Vol 448-453 ◽  
pp. 2524-2529
Author(s):  
Guo Qing Li ◽  
Fang Jing Zhang ◽  
Hou He Chen
Keyword(s):  
Wind Power ◽  
Interior Point Method ◽  
Sequential Monte Carlo ◽  
Wind Farms ◽  
Integrated System ◽  
Wind Generation ◽  
Available Transfer Capability ◽  
System Operation ◽  
Transfer Capability ◽  
Computing Method

As the number of wind generation facilities in the power system is fast increasing, the research on available transfer capability (ATC) calculation with wind farms has great significance to system operation. With consideration of the uncertainty of the wind powers output, this paper proposes a probability computing method to study the ATC in wind power integrated system. This computing method of ATC is evaluated on non-sequential Monte Carlo simulation, and the ATC of every system state in random sampling is calculated by interior point method. The result shows that the model and algorithm is correct and effective.

scholarly journals Power Grid Reliability Evaluation Considering Wind Farm Cyber Security and Ramping Events

2019 ◽  
Vol 9 (15) ◽  
pp. 3003 ◽  
Author(s):  
Honghao Wu ◽  
Junyong Liu ◽  
Jichun Liu ◽  
Mingjian Cui ◽  
Xuan Liu ◽  
...  
Keyword(s):  
Power System ◽  
Wind Turbine ◽  
Wind Power ◽  
Wind Turbines ◽  
System Reliability ◽  
Optimal Power Flow ◽  
Wind Farms ◽  
Reliability Evaluation ◽  
Test System ◽  
Power System Reliability

The cybersecurity of wind farms is an increasing concern in recent years, and its impacts on the power system reliability have not been fully studied. In this paper, the pressing issues of wind farms, including cybersecurity and wind power ramping events (WPRs) are incorporated into a new reliability evaluation approach. Cyber–physical failures like the instantaneous failure and longtime fatigue of wind turbines are considered in the reliability evaluation. The tripping attack is modeled in a bilevel optimal power flow model which aims to maximize the load shedding on the system’s vulnerable moment. The time-varying failure rate of wind turbine is approximated by Weibull distribution which incorporates the service time and remaining life of wind turbine. Various system defense capacities and penetration rates of wind power are simulated on the typical reliability test system. The comparative and sensitive analyses show that power system reliability is challenged by the cybersecurity of wind farms, especially when the installed capacity of wind power continues to rise. The timely patching of network vulnerabilities and the life management of wind turbines are important measures to ensure the cyber–physical security of wind farms.

scholarly journals Assessment of Wind Power Potential and Economic Analysis at Hyderabad in Pakistan: Powering to Local Communities Using Wind Power

2019 ◽  
Vol 11 (5) ◽  
pp. 1391 ◽  
Author(s):  
Mehr Gul ◽  
Nengling Tai ◽  
Wentao Huang ◽  
Muhammad Nadeem ◽  
Moduo Yu
Keyword(s):  
Wind Speed ◽  
Economic Analysis ◽  
Wind Power ◽  
Local Communities ◽  
Distribution Functions ◽  
Energy Output ◽  
Mean Bias Error ◽  
Weibull Function ◽  
Average Wind ◽  
Wind Characteristics

Wind power is the fastest growing and environmentally sustainable source of energy among all available renewable energy resources. The primary objective of this paper is to analyze the wind characteristics and power potential at Hyderabad, Southeastern province in Pakistan. Two years of wind speed data measured at 10 m above ground level (AGL) have been considered in this study. The annually, monthly, and seasonal variations in wind speed were analyzed, and minimum, maximum, and average values of recorded wind speeds are presented in this paper. Weibull and Rayleigh distribution functions have been applied to analyze the wind characteristics and evaluate the wind power potential of the proposed site. The Weibull shape k and scale c parameters have been estimated using the Weibull function. The higher values of k showed that the wind speed is steady at the site. The average wind speed was found above 6 m/s throughout the year. The most probable wind speed (Vmp) and maximum carrying energy (VmaxE) wind speed were also calculated using Weibull parameters. Root mean square error (RMSE), the coefficient of determination (R2), and mean bias error (MBE) were computed to ensure the good fit of Weibull distribution function. The annual average wind power and energy densities were estimated at more than 255 W/m2 and 2245 kWh/m2, respectively. The power density calculated by Weibull and Rayleigh functions was compared with that calculated by using measured wind data. The energy output and capacity factor of different commercially available wind turbines (WTs), i.e., power ratings from 0.33 to 2.75 MW, have been calculated. The cost of energy was estimated and ranged from $19.27 to $32.80 per MWh. Wind power potential and economic analysis of the collected data reveals that the site is suitable for developing wind power generation projects to power the local communities.

scholarly journals Predictive Reliability Assessment of Generation System

Energies ◽  
2020 ◽  
Vol 13 (17) ◽  
pp. 4350
Author(s):  
Martin Onyeka Okoye ◽  
Junyou Yang ◽  
Zhenjiang Lei ◽  
Jingwei Yuan ◽  
Huichao Ji ◽  
...  
Keyword(s):  
Reliability Index ◽  
Sequential Monte Carlo ◽  
Risk Model ◽  
Reliability Assessment ◽  
Test System ◽  
Growth Trend ◽  
Load Growth ◽  
Assessment Approach ◽  
Load Increase ◽  
Generation Capacity

Due to increasing load and characteristic stagnation and fluctuations of existing generation systems capacity, the reliability assessment of generation systems is crucial to system adequacy. Furthermore, a rapid load increase could amount to a consequent sudden deficit in the generation supply before the next scheduled assessment. Hence, a reliability assessment is conducted at regular and close intervals to ensure adequacy. This study simulates and establishes the relationship between the load growth and generation capacity using the generation and load data of the IEEE reliability test system (IEEE RTS ‘96 standard). The generation capacity states and the risk model were obtained using the sequential Monte Carlo simulation (MCS) method. The load was gradually increased stepwise and is simulated against the constant generation capacity. In each case, the reliability index was recorded in terms of loss-of-load evaluation (LOLE). The recorded reliability index was thereafter fitted with the load-growth trend by the linear regression approach. A predictive assessment approach is thereafter proffered through the obtained fitting equation. In addition, a reliability threshold is effectively determined at a yield point for a reliability benchmark.

scholarly journals A Coordinated Control of Offshore Wind Power and BESS to Provide Power System Flexibility

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4650
Author(s):  
Martha N. Acosta ◽  
Francisco Gonzalez-Longatt ◽  
Juan Manuel Roldan-Fernandez ◽  
Manuel Burgos-Payan
Keyword(s):  
Energy Storage ◽  
Power System ◽  
Wind Power ◽  
Single Layer ◽  
Coordinated Control ◽  
Test System ◽  
Power Converter ◽  
Control Logic ◽  
Battery Energy Storage ◽  
Battery Energy

The massive integration of variable renewable energy (VRE) in modern power systems is imposing several challenges; one of them is the increased need for balancing services. Coping with the high variability of the future generation mix with incredible high shares of VER, the power system requires developing and enabling sources of flexibility. This paper proposes and demonstrates a single layer control system for coordinating the steady-state operation of battery energy storage system (BESS) and wind power plants via multi-terminal high voltage direct current (HVDC). The proposed coordinated controller is a single layer controller on the top of the power converter-based technologies. Specifically, the coordinated controller uses the capabilities of the distributed battery energy storage systems (BESS) to store electricity when a logic function is fulfilled. The proposed approach has been implemented considering a control logic based on the power flow in the DC undersea cables and coordinated to charging distributed-BESS assets. The implemented coordinated controller has been tested using numerical simulations in a modified version of the classical IEEE 14-bus test system, including tree-HVDC converter stations. A 24-h (1-min resolution) quasi-dynamic simulation was used to demonstrate the suitability of the proposed coordinated control. The controller demonstrated the capacity of fulfilling the defined control logic. Finally, the instantaneous flexibility power was calculated, demonstrating the suitability of the proposed coordinated controller to provide flexibility and decreased requirements for balancing power.

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